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» Predicting non-stationary processes
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ICASSP
2009
IEEE
15 years 10 months ago
Predictive power control and multiple-description coding for wireless sensor networks
We study state estimation via wireless sensor networks over fading channels affected by random packet loss. In the configuration examined, the sensors send their measurements to ...
Jan Østergaard, Daniel E. Quevedo, Anders A...
142
Voted
ICML
2004
IEEE
16 years 4 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
119
Voted
HPCA
2009
IEEE
16 years 4 months ago
Criticality-based optimizations for efficient load processing
Some instructions have more impact on processor performance than others. Identification of these critical instructions can be used to modify and improve instruction processing. Pr...
Samantika Subramaniam, Anne Bracy, Hong Wang 0003,...
CORR
2010
Springer
175views Education» more  CORR 2010»
15 years 4 months ago
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolo...
Ryan Prescott Adams, George E. Dahl, Iain Murray
113
Voted
JMLR
2010
129views more  JMLR 2010»
15 years 2 months ago
On Finding Predictors for Arbitrary Families of Processes
The problem is sequence prediction in the following setting. A sequence x1, . . . , xn, . . . of discrete-valued observations is generated according to some unknown probabilistic ...
Daniil Ryabko